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DBMS > EJDB vs. Galaxybase vs. Google Cloud Firestore vs. IBM Db2 Event Store vs. NuoDB

System Properties Comparison EJDB vs. Galaxybase vs. Google Cloud Firestore vs. IBM Db2 Event Store vs. NuoDB

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonGalaxybase  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonNuoDB  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Scalable, ACID-compliant native distributed parallel graph platformCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Distributed Event Store optimized for Internet of Things use casesNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelDocument storeGraph DBMSDocument storeEvent Store
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score0.00
Rank#383  Overall
#39  Graph DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbgalaxybase.comfirebase.google.com/­products/­firestorewww.ibm.com/­products/­db2-event-storewww.3ds.com/­nuodb-distributed-sql-database
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdfirebase.google.com/­docs/­firestorewww.ibm.com/­docs/­en/­db2-event-storedoc.nuodb.com
DeveloperSoftmotionsChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司GoogleIBMDassault Systèmes infooriginally NuoDB, Inc.
Initial release20122017201720172013
Current releaseNov 20, November 20212.0
License infoCommercial or Open SourceOpen Source infoGPLv2commercialcommercialcommercial infofree developer edition availablecommercial infolimited edition free
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC and JavaC and C++C++
Server operating systemsserver-lessLinuxhostedLinux infoLinux, macOS, Windows for the developer additionhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeschema-freeStrong typed schemaschema-freeyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnononoyes infothrough the embedded Spark runtimeyes
APIs and other access methodsin-process shared libraryBrowser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Go
Java
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined procedures and functionsyes, Firebase Rules & Cloud FunctionsyesJava, SQL
Triggersnoyes, with Cloud Functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingdata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationActive-active shard replicationyes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyes infoRelationships in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesnoACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write LockingyesyesNo - written data is immutableyes infoMVCC
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoTemporary table
User concepts infoAccess controlnoRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standardStandard SQL roles/ privileges, Administrative Users

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More resources
EJDBGalaxybaseGoogle Cloud FirestoreIBM Db2 Event StoreNuoDB
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